8 citations · 20 across the 16 of their papers we have counts for
5 papers · 1 filter
CryoLithe: Rapid Cryo-ET Reconstruction via Transform-Localized Deep Learning
Vinith Kishore, Valentin Debarnot, AmirEhsan Khorashadizadeh +3
Cryo-electron tomography (cryo-ET) enables 3D visualization of cellular structures. Accurate reconstruction of high-resolution volumes is complicated by the very low signal-to-nois…
Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation
Valentin Debarnot, Vinith Kishore, Ricardo D. Righetto +1
We introduce ICE-TIDE, a method for cryogenic electron tomography (cryo-ET) that simultaneously aligns observations and reconstructs a high-resolution volume. The alignment of tilt…
FunkNN: Neural Interpolation for Functional Generation
AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot +1
Can we build continuous generative models which generalize across scales, can be evaluated at any coordinate, admit calculation of exact derivatives, and are conceptually simple? E…
Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
Valentin Debarnot, Sidharth Gupta, Konik Kothari +1
We propose a framework to jointly determine the deformation parameters and reconstruct the unknown volume in electron cryotomography (CryoET). CryoET aims to reconstruct three-dime…
Differentiable Uncalibrated Imaging
Sidharth Gupta, Konik Kothari, Valentin Debarnot +1
We propose a differentiable imaging framework to address uncertainty in measurement coordinates such as sensor locations and projection angles. We formulate the problem as measurem…